about
Metabolomics and Its Application in the Development of Discovering Biomarkers for Osteoporosis ResearchMolecular Mechanisms and Translational Therapies for Human Epidermal Receptor 2 Positive Breast CancerCMGRN: a web server for constructing multilevel gene regulatory networks using ChIP-seq and gene expression data.Timing of Tissue-specific Cell Division Requires a Differential Onset of Zygotic Transcription during Metazoan Embryogenesis.PTHGRN: unraveling post-translational hierarchical gene regulatory networks using PPI, ChIP-seq and gene expression data.Integrated transcriptional profiling and genomic analyses reveal RPN2 and HMGB1 as promising biomarkers in colorectal cancer.Unraveling regulatory programs for NF-kappaB, p53 and microRNAs in head and neck squamous cell carcinoma.Transcriptomic and Functional Pathway Analysis of Human Cervical Carcinoma Cancer Cells Response to Microtubule Inhibitor.PlaMoM: a comprehensive database compiles plant mobile macromolecules.Systems-level quantification of division timing reveals a common genetic architecture controlling asynchrony and fate asymmetry.PARP1 in Carcinomas and PARP1 Inhibitors as Antineoplastic Drugs.An integrative method to decode regulatory logics in gene transcription.A water-soluble nucleolin aptamer-paclitaxel conjugate for tumor-specific targeting in ovarian cancer.A transcriptomic study of myogenic differentiation under the overexpression of PPARγ by RNA-Seq.Integrated transcriptomic and regulatory network analyses identify microRNA-200c as a novel repressor of human pluripotent stem cell-derived cardiomyocyte differentiation and maturation.A newly identified lncRNA MAR1 acts as a miR-487b sponge to promote skeletal muscle differentiation and regeneration.Inhibition of osteoblastic Smurf1 promotes bone formation in mouse models of distinctive age-related osteoporosis
P50
Q28068862-AE3C78D8-0916-4DD8-89E6-1AE16C60EA81Q28072513-C3A0FE4D-82AD-4057-9FFE-F4CAE26E55CEQ30726096-6F94CA56-B09D-4C3B-977D-B3EC04DA5416Q30780782-0631B36B-7B00-48F3-910A-A9BE3CE9E3A2Q30827551-539407C2-5E45-4ACB-B94C-04F6A938A781Q34494956-A4CD96E5-614B-4681-8B68-E7516277E601Q34998769-BF1242C1-EB42-4C1B-A8C8-101AF2154923Q35978565-B762A1E8-98D2-4A84-B607-B9E8A3FD4279Q37557099-A501BB81-C84A-4D1E-AA5E-21C69B679BF3Q38996854-B3025E67-D850-4B47-BF2F-68E326B6F19CQ43042008-BA1F2F84-E15F-4497-A9F9-F2FBDD767600Q47115005-20C66DE4-9ED3-40D5-A9CC-6B08551BF1EAQ47121338-77ED9685-26F9-4B48-ACFC-A615E8741B09Q47146785-EAABB8E3-B1FF-4D66-9862-B138E6C96FFEQ47699468-A49B391B-E6DC-4BB0-A50F-9D5EA789610FQ51765292-E5AD2FC3-828A-4145-A558-D5FBDCCCBEE2Q58707515-7EA56E5E-06AE-40FB-9478-95F6ACEC40D1
P50
description
researcher
@en
հետազոտող
@hy
name
Daogang Guan
@ast
Daogang Guan
@en
Daogang Guan
@es
Daogang Guan
@nl
type
label
Daogang Guan
@ast
Daogang Guan
@en
Daogang Guan
@es
Daogang Guan
@nl
prefLabel
Daogang Guan
@ast
Daogang Guan
@en
Daogang Guan
@es
Daogang Guan
@nl
P106
P31
P496
0000-0002-3289-1448